Chris Russell
31 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
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(7)
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Hot Topic Early Bird
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Conference Polyglot
(9)
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Keyword Trendsetter Combo
(3)
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Keyword Champion
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Triple Crown
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Unstoppable
(9)
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Prolific Year
(6)
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Conference Pioneer
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Century Club
(30)
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The Questioner
(3)
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Trend Setter
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Keyword Collector
(151)
Conferences
NIPS (8)
CVPR (7)
ICCV (4)
ICML (4)
AISTATS (3)
CLEAR (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
MIDL (1)
Top co-authors
Keywords
algorithmic fairness
(4)
group fairness
(3)
counterfactual fairness
(3)
3d reconstruction
(3)
causal inference
(3)
fairness constraint
(3)
semantic segmentation
(3)
fair classification
(3)
binary classification
(2)
fair machine learning
(2)
demographic parity
(2)
adversarial robustness
(2)
object detection
(2)
dimensionality reduction
(2)
variational inference
(2)
computer vision
(2)
monocular depth estimation
(2)
scene understanding
(2)
counterfactual explanation
(2)
graph neural network
(2)
Papers
OxEnsemble: Fair Ensembles for Low-Data Classification
MIDL 2026
LLMs Donβt Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations
EMNLP 2025
OxonFair: A Flexible Toolkit for Algorithmic Fairness
NIPS 2024
Learning Adaptive Neighborhoods for Graph Neural Networks
ICCV 2023
Efficient fair PCA for fair representation learning
AISTATS 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLEAR 2023
Translating Images into Maps (Extended Abstract)
IJCAI 2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
ICML 2023
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
ICCV 2023
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
CVPR 2022
"The Pedestrian Next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping
CVPR 2022
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
ICLR 2022
Active Sampling for Min-Max Fairness
ICML 2022
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
ICML 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
NIPS 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
NIPS 2022
Pairwise Fairness for Ordinal Regression
AISTATS 2022
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball
CVPR 2021
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes
NIPS 2020
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
NIPS 2019
U4D: Unsupervised 4D Dynamic Scene Understanding
ICCV 2019
Making Decisions that Reduce Discriminatory Impacts
ICML 2019
Optimal Submodular Extensions for Marginal Estimation
AISTATS 2018
Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image
CVPR 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
NIPS 2017
Counterfactual Fairness
NIPS 2017
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
NIPS 2017
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction From RGB Video
ICCV 2015
Part-Based Modelling of Compound Scenes From Images
CVPR 2015
Learning a Manifold as an Atlas
CVPR 2013
Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection
CVPR 2013